Weight_Subjective
CIMAS: Criterion Impact MeAsurement System
Bošković, S., Jovčić, S., Simić, V., Švadlenka, L., Dobrodolac, M., Bacanin, N. · 2025
Overview
Impact-based weighted scoring (criterion-level deviation analysis). Output typically weight (higher value = preferred).
Strengths
- •Method-specific: Impact-based weighted scoring (criterion-level deviation analysis)
- •Native group-decision support (multi-DM aggregation built into the pipeline)
Limitations
- •Assumes: Domain experts available
- •Assumes: Experts can express consistent comparisons
Method assistant
Grounded explanations: it explains the method, it does not compute.
Assumptions to verify
- •Domain experts available
- •Experts can express consistent comparisons
When not to use
- •No experts available → use objective weighting
- •High inconsistency → discard and re-elicit
Edge cases
- •See F.steps and D.parameters for CIMAS-specific edge handling. recommendation_metadata.assumptions_to_verify also lists boundary conditions.
Common pitfalls
- •Hatalı: 'CIMAS bu varsayımı kontrol etmeden uygulamak'. Doğrusu: Domain experts available
- •Hatalı: 'CIMAS bu varsayımı kontrol etmeden uygulamak'. Doğrusu: Experts can express consistent comparisons
- •Hatalı: CIMAS'yi 'No experts available → use objective weighting' durumunda kullanmak: recommendation_metadata.not_recommended_when alternatif öneriyor.
- •Hatalı: CIMAS'yi 'High inconsistency → discard and re-elicit' durumunda kullanmak: recommendation_metadata.not_recommended_when alternatif öneriyor.
Worked example
- 1.Adım 1 (F1): Uzman ağırlıklarını deneyim yıllarından hesapla. Formül: W^{E_i} = E_i / Σ_i E_i Anchor: Bošković et al. 2025, p.338 Eq.(1)
- 2.Adım 2 (F2): Giriş veri matrisini sütun-bazlı (uzmanlar üzerinden) lineer-toplam normalize et. Formül: x*_ij = x_ij / Σ_i x_ij Anchor: Bošković et al. 2025, p.339 Eq.(2)
- 3.Adım 3 (F3): Normalleştirilmiş matrisin her satırını uzman ağırlığıyla çarp. Formül: x̂*_ij = x*_ij · W^{E_i} Anchor: Bošković et al. 2025, p.339 Eq.(3)
- 4.Adım 4 (F4): Her kriter sütununda maksimum ve minimum bul. Formül: R_j_max = max_i x̂*_ij; R_j_min = min_i x̂*_ij Anchor: Bošković et al. 2025, p.340 Eqs.(4)-(5)
- 5.Adım 5 (F5): Her kriter için max−min farkı. Formül: B_j = R_j_max − R_j_min Anchor: Bošković et al. 2025, p.340 Eq.(6)
- 6.Adım 6 (F6): Final kriter ağırlıkları. Formül: L_j = B_j / Σ_j B_j Anchor: Bošković et al. 2025, p.340 Eq.(7)
Commonly paired with
- •CIMAS + TOPSIS (high)
- •CIMAS + VIKOR (high)
- •CIMAS + EDAS (high)
- •CIMAS + PROMETHEE (high)
- •CIMAS + ELECTRE-III (high)
How to cite
Bošković, S.; Jovčić, S.; Simić, V.; Švadlenka, L.; Dobrodolac, M.; Bacanin, N. (2025). A New Criteria Importance Assessment (CIMAS) Method in Multi-Criteria Group Decision-Making: Criteria Evaluation for Supplier Selection. FACTA UNIVERSITATIS: Series: Mechanical Engineering. https://doi.org/10.22190/FUME230730050B